Triple
T17533057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barneveld |
E426985
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Scherpenzeel |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Scherpenzeel | Statement: [Barneveld, borderedBy, Scherpenzeel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scherpenzeel Context triple: [Barneveld, borderedBy, Scherpenzeel]
-
A.
Scherpenzeel
chosen
Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
-
B.
Scherpenisse
Scherpenisse is a village in the Dutch province of Zeeland, located on the island of Tholen.
-
C.
Heezen
Heezen is a surname most notably associated with American geologist and oceanographer Bruce C. Heezen, a pioneer in mapping the ocean floor.
-
D.
Oedekerk
Oedekerk is the surname of Steve Oedekerk, an American comedian, writer, director, and producer known for works like "Kung Pow! Enter the Fist" and contributions to the "Ace Ventura" and "Jimmy Neutron" franchises.
-
E.
Landsmeer
Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536a0f588190ade91d32308897a0 |
completed | April 19, 2026, 4 a.m. |
Created at: April 10, 2026, 5:49 a.m.